Alexander Kuhn

The smart factory is advancing at an increasing pace. I work on testing and rolling out novel architectures and approaches in a broad spectrum of projects. During the last years I created digital twins, worked on specification documents and supervised numerous projects in the field of virtual commissioning. Parallel to these high-pressure projects, I supervised up to ten student theses and projects to investigate novel approaches. Advancing standardization and digitalization one step at a time.

I conceptualized and supervised numerous student theses on the subject of machine learning and artificial intelligence with a focus on computer vision. The topics included GANs and spiking neural networks on different platforms. I was responsible for assisting the lecture "Digital Signal Processing", a master's course. There, I created and held parts of the lecture itself and extended it with additional in-depth material and exercises. The course achieved top marks in the student evaluation.

As part of the Human Brain Project, a €1bn EU flagship project, I worked in the Subproject Neurorobotics. Together with interdisciplinary teams across Europe I researched novel learning architectures. One of the main scopes was to investigate biological intelligence, locomotion and computation to transfer the astonishing efficiency to computers one day. As one of three Scientific Coordinators, I was responsible for the scrum based research team and to work on new proposals for future funding.

Following my masters thesis, I continued working on wireless sensor networks and localization based on optimization methods. These algorithms were tested in Matlab and then implemented in C++ for better performance.

Abschlussnote 1.2 (with high distinction)